Skip to main content

Model comparison

Gemini 2.5 Pro vs Kimi K2

Data verified

Head-to-head evidence from 14 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

57.25/100
Margin
30.1pts
← winning
Moonshot AI
27.19/100
0 category wins1 category wins

Public leaderboard positions: Gemini 2.5 Pro #70 (Supported); Kimi K2 #189 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 2.5 Pro and Kimi K2 share 14 comparable benchmark results. 1 of 8 categories are comparable. 10 results are unique to Gemini 2.5 Pro; 0 to Kimi K2.

Updated July 22, 2026
Shared results
14
Gemini 2.5 Pro only
10
Kimi K2 only
0
Comparable categories
1 / 8

Pick Gemini 2.5 Pro if you want the stronger benchmark profile. Kimi K2 only becomes the better choice if mathematics is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 7 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Gemini 2.5 Pro is clearly ahead on the BenchAlign aggregate, 57.25 to 27.19. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $10.00 output per 1M tokens, versus $0.60 input / $2.50 output per 1M tokens for Kimi K2. That is roughly 4.0x on output cost alone. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 128K for Kimi K2.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Gemini 2.5 Pro and Kimi K2
CategoryGemini 2.5 ProΔKimi K2
MathGemini 2.5 Pro11.6Margin 4.5Kimi K216.1
CodingGemini 2.5 Pro63.8MarginNo overlapKimi K2Not measured
KnowledgeGemini 2.5 Pro27.4MarginNo overlapKimi K2Not measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Gemini 2.5 ProB · Kimi K2
  1. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 14.138%B 21.404%
    Winner: Kimi K2Δ 7.3
    FrontierMath v2 (Tiers 1-3): Gemini 2.5 Pro scored 14.138%; Kimi K2 scored 21.404%. Kimi K2 wins this benchmark.
  2. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 4.167%B 0.000%
    Winner: Gemini 2.5 ProΔ 4.2
    FrontierMath v2 (Tier 4): Gemini 2.5 Pro scored 4.167%; Kimi K2 scored 0.000%. Gemini 2.5 Pro wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGemini 2.5 ProKimi K2Comparison
Input / output priceUSD per 1M tokensGemini 2.5 Pro$1.25 input / $10 outputKimi K2$0.6 input / $2.5 outputKimi K2 has the lower combined listed price.
Generation speedtokens per secondGemini 2.5 Pro117 tok/sKimi K243 tok/sGemini 2.5 Pro has the higher measured throughput.
First-answer latencyseconds to first tokenGemini 2.5 Pro21.19 sKimi K21.51 sKimi K2 reaches the first token sooner.
Context windowmaximum listed tokensGemini 2.5 Pro1MKimi K2128KGemini 2.5 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 2.5 ProKimi K2Result
AA Agentic IndexSource 7.1%Not comparable
τ²-bench resultsSource 54.1%61.1%Kimi K2 leads
Gert LabsSource 42.01%Not comparable
GDPval-AASource 8.3%Not comparable
GDPval-AASource 665Not comparable
Coding
BenchmarkGemini 2.5 ProKimi K2Result
SWE-bench VerifiedSource 63.8%Not comparable
Vibe Code BenchSource 0.40%Not comparable
AA Coding IndexSource 33.3%Not comparable
AA-SciCodeSource 42.8%34.5%Gemini 2.5 Pro leads
Reasoning
BenchmarkGemini 2.5 ProKimi K2Result
AA-LCRSource 66.0%51.0%Gemini 2.5 Pro leads
CritPtSource 2.6%0.0%Gemini 2.5 Pro leads
Knowledge
BenchmarkGemini 2.5 ProKimi K2Result
GPQASource 83%Not comparable
HLESource 18.8%Not comparable
Artificial Analysis Intelligence IndexSource 25.8%19.4%Gemini 2.5 Pro leads
AA-GPQA DiamondSource 84.4%76.6%Gemini 2.5 Pro leads
AA-HLESource 21.1%7.0%Gemini 2.5 Pro leads
AA-Omniscience IndexSource -14.3%-27.5%Gemini 2.5 Pro leads
AA-Omniscience AccuracySource 39.0%26.8%Gemini 2.5 Pro leads
AA-Omniscience Hallucination RateSource 87.4%74.2%Kimi K2 leads
MathKimi K2 wins
BenchmarkGemini 2.5 ProKimi K2Result
FrontierMath v2 (Tiers 1-3)Source 14.138%21.404%Kimi K2 leads
FrontierMath v2 (Tier 4)Source 4.167%0.000%Gemini 2.5 Pro leads
Multimodal
BenchmarkGemini 2.5 ProKimi K2Result
AA-MMMU-ProSource 74.9%Not comparable
Design Arena WebsiteSource 11971080Gemini 2.5 Pro leads
Inst. Following
BenchmarkGemini 2.5 ProKimi K2Result
AA-IFBenchSource 48.7%41.5%Gemini 2.5 Pro leads
Frequently Asked Questions (2)

Which is better, Gemini 2.5 Pro or Kimi K2?

Gemini 2.5 Pro is ahead on BenchLM's BenchAlign leaderboard, 57.25 to 27.19. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 14.138% and 21.404%.

Which is better for math, Gemini 2.5 Pro or Kimi K2?

Kimi K2 has the edge for math in this comparison, averaging 16.1 versus 11.6. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 22, 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.